- Manage scientific laboratory data
- Visualize and report on complex data
- Transform existing data into a data driven architecture
- Introduction of cloud based solutions like MS Azure
-
Using API, scripting and other tools to
facilitate data synchronization and cross-system communication.
- Implementation of data science solutions in a complex business environment
- Data migration under the aspect of data integrity and data governance
- SAP HANA Migration and Premium Plus Services for AI (RISE)
- Using modern migration tools like Astera, AWS Data Migration Services, Pipeline Pilot, Powershell, etc.)
- CSV / CSA
- Indroduction of digital lab features like digital signature, automated data polling, multi user enterprise platform
- Validation according FDA 21 CFR part 11, 820, ISO 13485, EMA Annex 11, Eudalex
- Digitalization of business processes
- Coordinate work streams in an agile approach
- Translate business processes to IT
- Coordinate SMEs
- Report to stakeholders